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    Examination of Anger Reactions and Psychiatric Diagnoses in Terms of Gender in a Group of University Students Having Difficulty with Anger Control
    (Turkiye Sinir Ve Ruh Sagligi Dernegi, 2010) Ozen, Sakir; Bez, Yasin; Ari, Mustafa; Ozkan, Mustafa
    Objective: We aimed to determine axis-I and axis-II diagnoses and identify gender difference in anger reactions among young adults who have difficulty controlling their anger. Method: Students from various faculties who had difficulty controlling their anger were invited to the psychiatry department. The SCID-I, SCID-II, Multidimensional Anger Scale, Childhood Trauma Questionnaire, Social Comparison Scale, Boratav Depression Screening Scale, and Beck Hopelessness Scale were administered to consecutive admissions of 50 males and 50 females. Results: Axis-I diagnoses were present in 60% of males and 74% of females. Axis-II diagnoses were present in 28% of males and 36% of females. Somatoform disorders and impulse control disorder were higher in males, whereas anxiety disorders and mood disorders were higher in females. Depression was diagnosed in 10% of males and 36% of females. Not being taken seriously was the most prominent reason for anger among females. The Revenge reactions score was strongly correlated with the education level of the mother in both genders (in females r=0.472, p=0.001; in males r=-0.396, p=0.006). The best predictor of an axis-I diagnosis in women was the anger symptoms total score, whereas it was the thoughts related to anger subscale score in males. On the other hand, the best predictors of an axis-II diagnosis were anxious behavior in females and smoking in males. Conclusion: Anger is an important component of psychiatric disorders. Reaction styles and underlying psychiatric disorders vary according to gender.
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    Monday Anxiety in Office Workers
    (Yerkure Tanitim & Yayincilik Hizmetleri A S, 2011) Bez, Yasin; Emhan, Abdurrahim; Ari, Mustafa; Ozen, Sakir
    Objective: In this study, comparison of state and trait anxiety levels of office workers on monday and on thursday was aimed. Method: On monday morning, sociodemographical form, State Anxiety Inventory (SAI), Trait Anxiety Inventory (TAI) and Beck Depression Inventory (BDI) were delivered to the 230 office workers. The data collected from 144 participants were usable. On thursday morning (3 days after) anxiety inventories were delivered again to these 144 workers. Complete and valid forms were collected from 61 participants. Results: The mean SAI scores of 61 participants on monday and on thursday were 44.4+10.2 and 42.2+9.9 (t= 2.226, p= 0.030) respectively; whereas their TAI scores were 44.7 +/- 8.8 and 43.0 +/- 8.2 (t= 2.123, p= 0.038) respectively. Mean BDI scores was 14.4 +/- 10.5. Mean TAI scores of workers both on monday and thursday were higher than managers'. Similarly, mean BDI score of workers on Monday was also higher than managers'. Mean TAI scores was higher in middle aged workers than youngs and higher in women than men. Additionally, mean SAI and TAI scores of high school graduates were higher than university graduates'. Conclusion: Relatively higher levels of anxiety on monday was found to be associated with woman gender, being over middle ages, longer job experience in the same work, lower education level, and being blue collar employee.